Conditioning Sequence-to-sequence Networks with Learned Activations

no code implementations • ICLR 2022 • Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Donald Lane, Sourav Bhattacharya

Conditional neural networks play an important role in a number of sequence-to-sequence modeling tasks, including personalized sound enhancement (PSE), speaker dependent automatic speech recognition (ASR), and generative modeling such as text-to-speech synthesis.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3